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Published October 14, 2021 | Version v1
Journal article Open

Location-Aware Resource Discovery and QoR-Driven Resource Selection for Hybrid Web Environments

  • 1. Open Group
  • 2. Department of Computer Science, E2S UPPA, LIUPPA, University Pau & Pays Adour
  • 3. InnoRenew CoE; Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska

Description

In the Web of Things (WoT) context, an increasing number of stationary and mobile objects provide functions as RESTful services, also called resources, that can be combined with other existing Web resources, to create value-added processes. However, nowadays resource discovery and selection are challenging, due to (1) the growing number of resources providing similar functions, making Quality of Resource (QoR) essential to select appropriate resources, (2) the transient nature of resource availability due to sporadic connectivity, and (3) the location changes of mobile objects in time. In this paper, we first present a location-aware resource discovery that relies on a 3-dimensional indexing schema, which considers object location for resource identification. Then, we present a QoR-driven resource selection approach that uses a Selection Strategy Adaptor (SSA) to form i-compositions (with i ∈ N∗ ) offering different implementation alternatives. The defined SSA allows forming resource compositions while considering QoR constraints and Inputs/Outputs matching of related resources, as well as resource availability and users different needs (e.g., optimal and optimistic compositions obtained using a scoring system). Analyses are made to evaluate our service quality model against existing ones, and experiments are conducted in different environments setups to study the performance of our solution. 

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Additional details

Identifiers

ISSN
1424-8220

Funding

InnoRenew CoE – Renewable materials and healthy environments research and innovation centre of excellence 739574
European Commission